Overview is a company that takes the cutting edge in computer vision and deep learning and applies it to previously unsolvable manufacturing inspection problems. We are truly a full stack company. We install physical cameras into the facility, run inference on the edge and manage massive deployments. Overview also streams gigabytes of video/image data to the cloud for our web platform to give customers advanced insights and analytics.

We are looking for engineers who like to solve tough challenges across the stack. This might include wrangling 500mb images or deploying optimized models in one click that can handle 10 parts a second. We are looking for people who are dynamic, who are excited to work on a different challenge every week, whether it's the final inspection on a medical device or making sure a razor blade has a perfect edge.

About the Role

We are looking for a field-based Vision Solutions Engineer in Monterrey, Mexico, to support customers throughout the full lifecycle of our vision systems — from pre-sales technical conversations to onsite deployments, troubleshooting, and long-term relationship building.

This role involves spending the majority of time onsite with customers, with a travel pattern that is mostly regional and allows for regular return home.

This is a highly customer-facing, hands-on role that sits at the intersection of engineering, applications, and sales. You will spend significant time onsite at manufacturing facilities , working directly with operators, engineers, and decision-makers to understand real-world problems and translate them into effective solutions.

This role is ideal for professionals who are comfortable in manufacturing environments and on the plant floor, can learn systems quickly through hands-on exposure, and are ready to take ownership in a fast-paced, field-based role.

If you're driven by field readiness, focused on building customer trust, and ready to turn your technical knowledge into real-world impact, then this is the right fit for you.

Responsibilities

• Act as a trusted technical partner for customers in manufacturing environments

• Support the sales process end-to-end , including technical discovery, demos, onsite evaluations, and application support

• Spend significant time onsite at customer plants , building long-term relationships through presence, consistency, and follow-up

• Troubleshoot vision systems and related hardware/software in real production environments

• Integrating our systems with several components in customer site

• Communicate effectively with a wide range of stakeholders — from operators to engineers to leadership

• Translate customer pain points into clear technical and commercial solutions

• Support installations, answer application questions, and help customers feel confident using the product

• Drive business growth by selling high-volume solutions (think 20+ cameras instead of just 1-2!).

• Travel 60-80% of the time to meet clients , ensuring a high level of satisfaction, continued engagement, and successful implementations.

Who you are

• Engineering studies background (BS in Mechatronics, Mechanical, Electrical, Industrial, Chemical, or similar)

• At least 2 years of experience in or strong exposure to manufacturing or industrial environments

• At least 1 year of customer-facing experience, both internal or external, or in field-based settings

• Strong troubleshooting mindset

• Ability to work through ambiguity and fast-paced environments

• Ability to communicate technical concepts clearly to both technical and non-technical audiences

• Willingness and enthusiasm for frequent travel

• Self-directed, autonomous, and comfortable working remotely

• Interest in supporting commercial outcomes, not just technical execution

• Must reside within ~1hr of Monterrey or be willing to relocate there.

Nice to Have

• Prior experience in:

• Exposure to:

• Experience building or owning long-term customer relationships

• Business exposure or experience working closely with sales teams

What Success Looks Like

• Customers trust you and see you as a reliable technical partner

• You are comfortable navigating ambiguity and fast-paced environments

• You follow up proactively and stay engaged with customers after visits

• You continuously improve your understanding of the system through repetition and real-world exposure

• You help move opportunities forward by supporting both the technical and relational sides of the sales process

What’s in it for you?

• High ownership and autonomy

• Real impact on customers and product adoption

• Direct exposure to manufacturing environments

• Opportunity to grow either:

About

Overview.ai is transforming manufacturing quality control with the OV20i and OV80i , an advanced AI vision system that combines cutting-edge deep learning with ease of use and quick setup. Our system handles a wide array of inspection tasks—from subtle assembly verification to defect detection and orientation checks—delivering real-time, high-accuracy inspections that seamlessly integrate into existing production lines.

Trusted by leading manufacturers like Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate, the OV enables faster throughput, reduced scrap, and lower inspection costs—without the complexity and expense of traditional vision systems.

What We Offer

• Competitive base salary

• Sales commission uncapped

• Healthcare coverage

• Aguinaldo bonus

• 12 days PTO

• All-expenses-paid trips to customer locations

• Remote work

• Opportunities for career growth in a rapidly evolving industry.

• Supportive and dynamic work environment.

Overview's tech is far reaching. We deploy highly reliable camera hardware and GPU's into manufacturing and industrial settings. We have an IoT fleet management stack to update, secure, and manage our fleet of devices. We stream this data to our cloud or to a customers hybrid cloud where we have a user facing platform where customers can interact with their devices, deploy new deep learning models, and see advanced analytics.

We use Docker to deploy web infrastructure and deep learning models. We have an extensive deep learning stack using Tensorflow, PyTorch and packaged with Onnx. Our frontend is in React, which is updated in real time from our fleet using MQTT. And the list goes on...